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goodtables-py, Data Curator and Stenci.la (looks like a cross between Word and Pandas) could provide code and ideas for this tool. This would be the most significant of the areas presented here for where Frictionless could be used in HDX and shapes how much effort should be put into further prototyping. The decision that needs to be made is whether to make improvements to the HXL proxy or to use and contribute to Frictionless libraries to make them either least minimally HXL-aware if used alongside the HXL Proxy or fully aware if used as a replacement.
Advantages to using HXL Proxy
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The HXL Proxy already has some validation capabilities built in so the question is whether what it has is already sufficient and if not, whether Frictionless offers significantly more such that it is worth the effort to switch rather than just build on the HXL proxyHXL Proxy. Using a minimally HXL-aware Frictionless for the non HXL-specific validation such as checking types with the HXL Proxy for validation specific to HXL eg. against vocabularies may be a good solution.
HDX to Frictionless Prototype
A prototype has been developed that takes an HDX dataset name and from it produces a Frictionless datapackage. Initially it was designed to convert from HXL to Frictionless but it became apparent that the datapackage data package can include metadata unavailable to HXLated resources - metadata contained within the HDX dataset itself.
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